On Detecting Unsteady Demand in Mobile Networking Environment

Authors:
V. V. Shakhov;H. Choo;H. Y. Youn
Affiliations:
-;-;-
Venue:
ICCS '02 Proceedings of the International Conference on Computational Science-Part III
Year:
2002

Citing 3
Cited 0

A class of mobile motion prediction algorithms for wireless mobile computing and communication

Mobile Networks and Applications - Special issue: routing in mobile communications networks
Fundamentals of Performance Modeling

Fundamentals of Performance Modeling
Mobile Cellular Telecommunications: Analog and Digital Systems

Mobile Cellular Telecommunications: Analog and Digital Systems

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Abstract

One of the key issues in mobile communication system is how to predict the number of calls per each cell. It is an important parameter and usually assumed as random Poisson value. For effective management of cellular network, the average number of calls should be traced and the changes in the numbers need to be promptly detected. In this paper we propose an algorithm detecting the changes in the behavior of the users using the technique proposed for point-of-change problem based only on the number of call arrivals. Computer simulation reveals that the proposed method can effectively detect the discord, and the developed model is very accurate as showing mostly less than 1% differences.